{"id":754079,"url":"https://alion.io/job/sygaldry-simulation-modeling-engineer","title":"AI Systems Performance Architect","company":{"id":687371,"name":"Sygaldry","domain":"sygaldry.com","url":"https://alion.io/company/sygaldry","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":11,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-08-31T18:32:18Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-11-07T05:56:42Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":67},"description":"About Sygaldry\nSygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to super intelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact.\nWhat You’ll Work On\nThis role is focused on the modeling and simulation of high-performing AI hardware, and does not require prior knowledge of quantum computers. It will interface with a variety of internal teams and external partners with whom we are planning to collaborate. We will share more detail about this role during in-person discussions.\nKey responsibilities:\nDevelop performance models and simulators for large-scale distributed ML systems and emerging AI acceleration platforms.\n\nModel end-to-end training and inference performance across compute, memory, networking, and communication.\n\nAnalyze workload parallelism, collective communication, scheduling, and data movement to identify system-level bottlenecks.\n\nExplore system architectures and hardware/software tradeoffs to improve performance, scalability, and efficiency.\n\nBuild simulation frameworks for rapid design-space exploration across distributed GPU and next-generation accelerator systems.\n\nCollaborate with ML researchers, compiler engineers, and system architects to guide next-generation AI system design.\n\nYou May Be a Fit if You Have:\nPhD in Computer Engineering or Masters in Computer Engineering with 2-5 years relevant work experience\n\nA strong research track record, including publications at top-tier venues such as ISCA, MICRO, ASPLOS, MLSys, SOSP, VLDB, OSDI, or other leading systems conferences.\n\nStrong foundations in ML systems, distributed computing, and performance modeling.\n\nExperience with large-scale ML training or inference systems and distributed execution frameworks.\n\nUnderstanding of model parallelism, data parallelism, collective communication, and distributed scheduling.\n\nExperience building simulators, analytical performance models, or system-level benchmarking tools.\n\nFamiliarity with GPU clusters, high-performance networking, and AI accelerator systems.\n\nAbility to reason from first principles, identify bottlenecks, and independently tackle open-ended research problems.\n\nPassion for rethinking how next-generation AI systems are designed and scaled.\n\nHow We’re Different\nAt Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We’re looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI.\nCulture & Benefits\nVisa Sponsorship - We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible.\n\nCompensation - We value your contribution and invest in your future with a competitive salary and meaningful equity.\n\nBenefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.\n\nConnection - Whether it’s company offsite or casual crew socials, we make time to connect, recharge, and have fun together.\n\nTime Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact.\n\nWe encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\nWe encourage you to apply even if you do not believe you meet every single qualification. If you don’t think this role is right for you, but you believe that you would have something meaningful to contribute to our mission, please reach out at .\nLocation: This position can be located on-site in San Francisco, CA or Ann Arbor, MI","description_format":"text","description_chars":4621,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Servers & Data Center Hardware","Quantum Computing Hardware","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-11T16:41:33Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":11,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","Alion: sponsorship offered in the employer's own job adverts (24 months)"],"filings_for_role_12m":0}],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.665,"p_room":0.36,"age_days":67,"expected_fill_days":44,"reasons":["conf:4","win:tail","crowd:"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":235000,"is_top_pay":false},"html_url":"https://alion.io/job/sygaldry-simulation-modeling-engineer","json_url":"https://alion.io/job/sygaldry-simulation-modeling-engineer.json","meta":{"generated_at":"2026-11-07T08:22:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4812,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":687371},"rest":"https://alion.io/mcp/rest/get_company?id=687371"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsygaldry-simulation-modeling-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsygaldry-simulation-modeling-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsygaldry-simulation-modeling-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sygaldry-simulation-modeling-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsygaldry-simulation-modeling-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":754079}},{"tool":"search_jobs","arguments":{"company":"sygaldry.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":754079},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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